Be first to read the latest tech news, Industry Leader's Insights, and CIO interviews of medium and large enterprises exclusively from Applied Technology Review
THANK YOU FOR SUBSCRIBING
Ocean Conservation: The Role of Exploration and Technology
Encompassing a staggering 70 per cent of the planet's surface, the oceans remain a realm of profound mystery and untapped potential.
By
Applied Technology Review | Wednesday, August 09, 2023
Ocean conservation hinges on exploration and technology. Exploration deepens knowledge, while technology gathers data, monitors marine life, and safeguards oceans for the future.
FREMONT, CA: Encompassing a staggering 70 per cent of the planet's surface, the oceans remain a realm of profound mystery and untapped potential. Recent leaps in technology have ushered in a new era of ocean exploration, offering unprecedented insights into the preservation of these vast aquatic realms and their remarkable biodiversity. The ocean stands as a pivotal force in shaping the intricate tapestry of our global ecosystem, responsible for generating more than half of Earth's life-sustaining oxygen, while also serving as a fount of nourishment, livelihoods, and economic promise.
Nonetheless, the ocean stands at a crossroads, beset by mounting challenges such as pollution, overfishing, and the ever-looming specter of climate change. Urgent conservation endeavors are imperative to safeguard its delicate equilibrium and to secure the vitality of marine life, and by extension, the well-being of humanity.
Stay ahead of the industry with exclusive feature stories on the top companies, expert insights and the latest news delivered straight to your inbox. Subscribe today.
Technological innovations in ocean conservation
Remote sensing: Remote sensing technologies, such as satellites and drones, are used to monitor the ocean from space. This data can be used to track changes in ocean temperatures, sea levels, and currents, as well as to identify areas of pollution and overfishing. Remote sensing is a cost-effective and efficient way to collect ocean data over a large area. It is also a non-invasive way to collect data, which is important for protecting marine life.
Robotic vehicles: Autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs) are used to explore the ocean depths. These vehicles can go places that humans cannot, and they can collect data that would be too dangerous or difficult to collect using traditional methods. AUVs are self-propelled vehicles that can operate for long periods of time without human intervention. ROVs are tethered to a ship or shore station, and they are controlled by a human operator. Robotic vehicles are becoming increasingly sophisticated, and they are playing a vital role in ocean exploration and conservation.
Artificial intelligence: Artificial intelligence (AI) is being used to analyze data collected by remote sensing and robotic vehicles. AI can help scientists to identify patterns and trends in ocean data, and it can also be used to develop new conservation strategies. AI is a powerful tool that can be used to make sense of large amounts of complex data. It is also a flexible tool that can be adapted to new challenges.
3D printing: 3D printing is being used to create innovative ocean conservation tools, such as artificial reefs and ocean cleanup devices. 3D printing is a rapid prototyping technology that can be used to create objects from a digital file. This technology is being used to create artificial reefs that are more effective at attracting marine life than traditional reefs. 3D printing is also being used to create ocean cleanup devices that can collect plastic debris from the ocean.
The importance of ocean exploration and technology in ocean conservation
Exploration and technology play pivotal roles in the preservation of the oceans. Through oceanic exploration and data collection, we gain a deeper comprehension of the challenges confronting the marine environment, enabling the formulation of effective conservation tactics.
Numerous ways showcase the synergy of exploration and technology in safeguarding the ocean:
Protecting marine life: Remote sensing data is being used to identify areas of coral reef bleaching and to track the migration patterns of endangered marine species. This information is being used to create marine protected areas (MPAs) and to develop fishing regulations that will protect these species.
Coral reefs are important ecosystems that provide food and shelter for a variety of marine life. However, coral reefs are under threat from climate change, pollution, and overfishing. Remote sensing data is being used to identify areas of coral reef bleaching, which is a sign that the coral is under stress. This information is being used to create MPAs, which are areas of the ocean that are protected from fishing and other human activities. MPAs can help to protect coral reefs from further damage and allow them to recover.
Remote sensing data is also being used to track the migration patterns of endangered marine species. This information is being used to develop fishing regulations that will protect these species from being caught in nets. For example, the National Oceanic and Atmospheric Administration (NOAA) is using remote sensing data to track the migration patterns of endangered sea turtles. This information is being used to develop fishing regulations that will protect sea turtles from being caught in fishing nets.
Cleaning up pollution: AUVs and ROVs are being used to collect plastic debris from the ocean. This debris is then recycled or disposed of properly.
Plastic pollution is a major problem in the ocean. Plastic debris can entangle marine life, block their digestive tracts, and even kill them. AUVs and ROVs are being used to collect plastic debris from the ocean floor. This debris is then recycled or disposed of properly. For example, the Ocean Cleanup Foundation is using AUVs to collect plastic debris from the Great Pacific Garbage Patch.
Monitoring climate change: Remote sensing data is being used to track changes in ocean temperatures and sea levels. This information is being used to study the impacts of climate change on the ocean and to develop adaptation strategies.
Climate change is a major threat to the ocean. The ocean is absorbing more heat from the atmosphere, which is causing ocean temperatures to rise. This is causing a variety of problems, including coral reef bleaching, sea level rise, and changes in ocean currents. Remote sensing data is being used to track these changes and to study their impacts on the ocean. This information is being used to develop adaptation strategies, such as building seawalls to protect coastal communities from flooding.
The future of ocean conservation
The future of ocean conservation holds promising prospects, driven by ongoing advancements in technology. These innovations are poised to enhance our exploration of the ocean's intricacies and safeguard its invaluable resources.
Anticipating a transformative impact, technology is poised to reshape ocean conservation in the following ways:
Virtual Reality (VR): Immersive VR experiences are enabling individuals to embark on virtual oceanic explorations from their homes. This tool holds potential for public education and galvanizing involvement in conservation endeavors, fostering a deeper understanding of the ocean's significance.
Augmented Reality (AR): AR overlays digital insights onto reality, benefiting both scientists in field data collection and public awareness campaigns. This dynamic technology aids researchers and educates the public about the ocean's critical role.
3D Printing: The advent of 3D printing is set to revolutionize the creation of ocean conservation apparatus. Envisage a future where 3D-printed artificial reefs, ocean cleanup contraptions, and submerged habitats are commonplace, ushering in a new era of innovative conservation tools.
With the ongoing advancement of new technologies, anticipation grows for witnessing further innovative and efficient ocean conservation solutions in the upcoming years. Nonetheless, it remains crucial to bear in mind that technology is not a singular solution. Equally important are adjustments to behavior, encompassing diminished plastic consumption, reduced seafood intake, and backing sustainable fishing methods.
London : The 3rd edition of the London Climate Technology Show concluded last week, paving a vital roadmap towards fully decarbonising our planet through sustainable technologies. The event brought together policymakers, eco-technology leaders, industry professionals, and innovators, all unified in their call for an immediate shift to sustainable and green solutions to secure a better future for the planet.
The two-day event opened on 27th November with an inspiring keynote by Felicity Burch, Executive Director of the Responsible Technology Adoption Unit at the Department for Science, Innovation, and Technology (DSIT), who spoke about AI Innovation in Clean Energy and the DSIT's Manchester Prize . Following her, Ing. Abigail Cutajar, CEO of the Climate Action Authority, talked about Pioneering the Surge Towards Climate and Energy Transitions.
The conference unfolded over two dynamic days, featuring a packed agenda of insightful presentations and engaging panel discussions. It delved into actionable strategies for decarbonisation, advancements in AgriTech, the evolving carbon market, eco-funds, energy, CCS, built environment and other groundbreaking innovations in climate technology.
Notable discussions highlighted the need for farmers to balance carbon stewardship with food production over the next few decades, the importance of consistent government policies to enable businesses to plan and innovate effectively, and the urgency of addressing digital and engineering skill shortages to ensure a successful green energy transition. Industry experts also called for common sustainability metrics to measure corporate efforts fairly, emphasized the value of collaboration over competition to accelerate the green transition, and underscored the need for farmers to access landscape-level data to enhance biodiversity.
The exhibition hall featured groundbreaking innovations and solutions in sustainability and climate technology, including carbon capture and storage (CCS) from companies like CGI and Terra CO2 Technology, carbon management and accounting solutions by Greenly and Gaia Carbon Accounting, and emerging climate technologies from innovators such as Nabla Flow and Luna 9. Other exhibitors showcased AI-driven solutions, sustainable energy systems, and innovative carbon reduction technologies, presenting a comprehensive snapshot of the future of climate tech.
#CTS24 also hosted interactive side events, including startup acceleration programs and hands-on workshops, providing participants with opportunities for learning, networking, and collaboration. These sessions empowered attendees to adopt transformative technologies and take decisive climate action.
Attendee Experiences
The event received overwhelming positive feedback:
● Mark Haley , Co-founder of Cero3, shared, "We’re so proud to have unveiled our sustainable travel planner. The feedback and interest exceeded our expectations."
● Satyajit Mohanan , Projects and Business Development Coordinator at Cambridge Cleantech, remarked, "It was a pleasure to be part of this event. I met amazing people and look forward to the next edition."
● Dennis Chacko , Senior Sales Manager at the British Board of Agreement, shared his excitement over a unique sustainable pen: "Once used, you can plant it to grow something new—a powerful reminder of how everyday items can contribute to a greener future."
As this successful edition concludes, the organisers are already planning for a bigger, more impactful 4th Edition , with expanded content and greater opportunities to drive meaningful change toward a sustainable future.
...Read more
The increasing human population and demand for clothing are inevitable, but manufacturers must balance their efforts without overextending themselves. AI can help meet demand without exceeding supply, ensuring the sustainability of the planet's finite resources.
Apparel manufacturing uses AI in the following ways:
Enhancing the grading of materials: Although the human eye is a remarkable instrument, it is also fallible. Grading yarn and other base materials are one area where AI improves quality control (QC).
As a result of applying AI to this area, cost savings are realized, and the fundamental materials used in apparel manufacturing can be graded more precisely. Thus, AI can maintain a higher standard for materials than humans alone, thereby increasing the quality of finished garments.
Increasing the accuracy of final product inspections: A piece of fruit can even be discerned from its skin if it has been bruised through machine learning and computer vision.
Textiles and apparel manufacturing are equally inspiring applications. The condition and salability of newly made and previously worn garments can be assessed by algorithms coupled with specialty illumination systems. By measuring the amount of light that is transmitted and reflected, AI can determine whether a piece of fabric or a garment meets current quality standards at a glance.
The likelihood of Type I and Type II errors in a manufacturing setting was 17.8 percent and 29.8 percent, respectively. In the former case, inspectors miss real defects, while in the latter, false positives are made.
Apparel manufacturers can keep costs and errors down by using AI-powered automated inspection software. Identifying substandard yarn early in the manufacturing process can deliver value throughout the supply chain.
A tailor-made solution for the apparel industry: Artificial intelligence
Another area where AI can shine is sustainable and customized manufacturing. To facilitate cheaper and less resource-intensive custom clothing manufacturing, modern imaging techniques allow end-users to create 3D renderings of their bodies. ...Read more
Practical technology is catalyzing sector convergence, which entails the dissolution of conventional distinctions among diverse industries. This phenomenon fosters novel business paradigms, value constellations, and prospects, enabling organizations to harness technologies and proficiencies beyond their primary domain.
Key Technological Catalysts
Several transformative technologies are serving as the primary drivers of industry convergence, providing the infrastructure and capabilities that enable cross-sector collaboration and the creation of new value. The Internet of Things (IoT) connects physical assets to digital networks, generating vast streams of data that integrate physical and virtual operations. For example, smartwatches and fitness trackers, initially consumer electronics, now serve the healthcare sector by supporting remote patient monitoring and preventative care. Artificial Intelligence (AI) and Machine Learning (ML) build on this data by enabling advanced analytics, driving smarter decision-making, and delivering hyper-personalized services across various industries. Retailers utilize AI to predict consumer trends, optimize supply chains, and personalize shopping experiences. At the same time, financial institutions leverage it for fraud detection and algorithmic trading, thereby blurring the boundaries between technology and traditional banking. Blockchain adds another dimension by offering a secure, transparent framework for managing transactions and data across multiple parties, streamlining cross-sector collaboration in areas such as supply chain management by reducing reliance on intermediaries. The rollout of 5G connectivity provides the speed and low latency necessary to support these technologies at scale, enabling real-time communication between devices and seamless integration across various industries. Autonomous vehicles, for instance, depend on instantaneous connectivity with smart city infrastructure and other cars, exemplifying the convergence of automotive, telecommunications, and urban planning.
Impact on Business and Society
Sector convergence is profoundly altering conventional business paradigms. A single product or service no longer defines enterprises; instead, they are evolving into comprehensive ecosystems that deliver an array of integrated solutions. This evolution fosters novel opportunities for innovation, concurrently introducing complexities such as navigating intricate regulatory frameworks and managing data privacy across disparate sectors. From a consumer perspective, this convergence facilitates enhanced convenience, personalization, and seamless experiences; however, it also raises concerns regarding data security and market dominance. As the trajectory of applied technology continues its advancement, the demarcations between industries will inevitably diminish, thereby ushering in a future characterized by interconnected and integrated services.
Ultimately, applied technology transcends mere efficiency; it represents a fundamental force for change, reshaping the very structure of our economy. The future will be defined by ecosystems of integrated services, where companies succeed not by dominating a single sector, but by seamlessly connecting their offerings with others. This era of convergence promises unprecedented innovation and convenience for consumers. Yet, it also necessitates a proactive approach from businesses and policymakers to navigate the challenges of regulation, data privacy, and market power. Embracing this paradigm shift is crucial for companies seeking to develop in a world where the distinctions between sectors no longer exist. ...Read more
SCADA systems have long formed the backbone of industrial automation. They play a central role in many processes, from manufacturing to utility management, providing an overview and regulation. With the advancement of technology, the future looks set to change considerably for SCADA systems. Emerging trends redefine how SCADA works, further enhancing its capabilities and integrating it into the bigger context of industrial technology.
As it has evolved, SCADA has become integrated with the Internet of Things (IoT), generating massive data that leads to better decisions and process optimization. SCADA systems have begun integrating with IoT devices to provide more accurate and timely data across numerous inputs, improving operational efficiency and giving more profound insights into system performance.
It is revolutionizing the industry by adopting scalable, flexible, and cost-effective solutions that are much sought after by industrial requirements. These enable remote access to system data and controls, making management and troubleshooting easier. The shift towards the cloud has improved data storage and analysis capabilities for robust analytics and historical data review.
Cybersecurity is essential because SCADA systems are rapidly intertwining with other digital platforms. With increased cyber threats today, more security systems are needed to protect sensitive industrial information and ensure the system's integrity. Future SCADA systems will likely incorporate more complex cybersecurity features, including advanced encryptions, multi-factor authentication, and continuous monitoring against potential threats. Advanced security protocols would be crucial in protecting these systems from cyberattacks while ensuring the dependability of critical infrastructure.
AI and machine learning are also increasingly making headlines in the future of SCADA systems. AI algorithms can read vast volumes of data generated by SCADA systems to identify trends, predict when a piece of equipment needs to be serviced, and optimize all related processes. AI-powered predictive analytics can help prevent equipment failures, minimize time loss, and enhance system efficiency. Thus, AI in SCADA has marked a significant milestone in managing industrial processes more proactively, intelligently, and streamlined.
The trend toward edge computing impacts SCADA systems. Edge computing is a form of data processing closer to the source rather than being sent to the centralized cloud or data center. Since this reduces latency and improves response times, it also reduces the amount of data needing to be transmitted over networks. This can enhance SCADA's real-time monitoring and control, making management decisions more efficient. ...Read more